Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

KITTI

data category: Object detection and segmentation benchmarks · 0 papers in the last 7 days

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Images labelled with object boxes or pixel masks, including driving scenes.

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Names searched for: KITTI

Key findings#

  • From Nov 2023 to Oct 2026, 288 archived papers mentioned KITTI in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (14).
  • KITTI was mentioned in 7 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #48 of the 255 datasets mentioned.
  • By journal category: AI (7).
  • Most of them appeared in Pattern Recognition (3), International Journal of Computer Vision (1) and Artificial Intelligence Review (1).
  • From 2017 to 2026 (so far), KITTI was mentioned in 394 papers in the tracked journals, most of them in AI (386), economics (4) and operations research (3).
  • 103 of them were published in 2025, against 3 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (20), Zhejiang University (17) and Shanghai Jiao Tong University (15).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (75), International Journal of Computer Vision (51) and Pattern Recognition (29).
  • The most-cited of them is “Cascade R-CNN: High Quality Object Detection and Instance Segmentation” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019), with 1,961 citations.
  • Papers use KITTI most often with nuScenes / Waymo Open / Argoverse (115), ImageNet (72) and Cityscapes (61); it has 32 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
9911178288

Papers per year#

2017: 3 papers2018: 5 papers2019: 15 papers2020: 11 papers2021: 20 papers2022: 25 papers2023: 46 papers2024: 100 papers2025: 103 papers2026 (so far): 66 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI3515112025469810162
Economics0000000112
Operations Research0000000102
Management0000000010
All categories35151120254610010366

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China197
2United States37
3United Kingdom29
4Hong Kong28
5Germany24
6Australia20
7Singapore19
8Italy13
9India8
10Canada7
Keywords with the most papers, since 2023
#KeywordPapers
1autonomous driving61
23D object detection39
3KITTI38
4KITTI dataset35
5point clouds24
6LiDAR point cloud21
7LiDAR20
8autonomous vehicles18
9nuScenes18
10monocular depth estimation17

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use KITTI most often with nuScenes / Waymo Open / Argoverse (115), ImageNet (72) and Cityscapes (61); it has 32 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use KITTI together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
nuScenes / Waymo Open / ArgoverseDataset11543.7
ImageNetDataset723.3
CityscapesDataset6122.4
MS COCODataset506.2
CIFAR-10 / CIFAR-100Dataset201.6
PASCAL VOCDataset206.8
ADE20KDataset1410.7
YouTube / TikTokDataset140.9
MNIST / Fashion-MNISTDataset101.0
KaggleDataset91.7
SVHNDataset84.3
Face recognition (LFW, CelebA, VGGFace2)Dataset72.8
Papers mentioning KITTI in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-27StreamingVDE: A dual-timescale memory bank with decomposed spatio-temporal adaptation for online monocular video depth estimationPattern RecognitionJing Xu, Hong Liu, Buyun Chen et al.Peking University
2026-10-25$${\text {VLScene}}^{++}$$: Enhancing 3D Semantic Scene Completion via VLM Discrepancy-Aware Semantic Distillation and Sparse–Dense Hybrid AwarenessInternational Journal of Computer VisionMeng Wang, Yujie Xue, Jijiang Liu et al.Hunan University
2026-10-21STATIC: Surface-normal-guided Two-branch Alignment and Temporal Integration for Consistent Video Depth EstimationPattern RecognitionSunghun Yang, Minhyeok Lee, Suhwan Cho et al.Yonsei University
2026-10-17Seeing ahead through a state-of-the-art review of visual perception and predictive intelligence for collaborative robotsArtificial Intelligence ReviewMahmoud Salem, Markus Reischl, Veit Hagenmeyer et al.Karlsruhe Institute of Technology; British University in Egypt; Gulf University for Science & Technology
2026-10-17MonoPRIO: Adaptive prior conditioning for unified monocular 3D object detectionPattern RecognitionLeon Davies, Qinggang Meng, Mohamad Saada et al.Loughborough University; University of Southern Denmark
2026-10-15D2OM: Depth-aware dynamic matching for DETR-based monocular 3D detectionKnowledge-Based SystemsChenfeng Wei, Si Zuo, Chang Li et al.
2026-10-06AURORA-KITTI: Any-weather depth completion and denoisingInformation FusionYiting Wang, Tim Brödermann, Hamed Haghighi et al.Queen Mary University of London; ETH Zurich; University of Warwick; …
Cite this page

Scholar4AI. (2026). KITTI. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/kitti

@misc{scholar4ai-datasets-kitti,
  author = {{Scholar4AI}},
  title = {KITTI},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/kitti}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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